Kaitao Zheng — accepted AI-conference papers

2025

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism

Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu +1

IJCAI 2025

Time series imputation is one of the most challenging problems and has broad applications in various fields like health care and the Internet of Things. Existing methods mainly aim to model the temporally latent dependencies and the generation process from the observed time series data. In real-worl

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2025

On the Identification of Temporal Causal Representation with Instantaneous Dependence

Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong +2

ICLR 2025oral

Temporally causal representation learning aims to identify the latent causal process from time series observations, but most methods require the assumption that the latent causal processes do not have instantaneous relations. Although some recent methods achieve identifiability in the instantaneous…

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